Students relied on scattered, ungoverned AI tools. Now, instructors configure secure AI agents tied to validated course materials.
A Chilean research university where 94% of students were already using AI tools independently, across an institution with no centralized governance, oversight, or pedagogical framework for AI adoption.
Without institutional structure, students and faculty gravitated toward unregulated third-party tools, creating fragmented experiences, privacy...
“What matters most is combining the power of artificial intelligence and modern technology with the expertise and creativity of educators so we can deliver a better learning experience for students.”
Catholic research university for undergraduate and graduate students.
Designed, configured, and deployed UC Chile's AyudantIA pedagogical agent platform on Azure
Enterprise software, cloud infrastructure, and consumer electronics platform.
Pontificia Universidad Católica de Chile's Student tutoring is part of this use case:
Related implementations across industries and use cases
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Students relied on scattered, ungoverned AI tools. Now, instructors configure secure AI agents tied to validated course materials.
A Chilean research university where 94% of students were already using AI tools independently, across an institution with no centralized governance, oversight, or pedagogical framework for AI adoption.
Without institutional structure, students and faculty gravitated toward unregulated third-party tools, creating fragmented experiences, privacy...
“What matters most is combining the power of artificial intelligence and modern technology with the expertise and creativity of educators so we can deliver a better learning experience for students.”
Catholic research university for undergraduate and graduate students.
Designed, configured, and deployed UC Chile's AyudantIA pedagogical agent platform on Azure
Enterprise software, cloud infrastructure, and consumer electronics platform.
Pontificia Universidad Católica de Chile's Student tutoring is part of this use case:
Related implementations across industries and use cases
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Classrooms with 1:30 ratios left students behind. Now, 350M monthly queries route to specialized models for personalized tutoring.
Traditional courses left students unprepared to navigate massive codebases. Using AI, they bypass boilerplate to build sophisticated apps.
800-student courses, limited TAs. AI grader clusters mistakes for instructor review; students get 24/7 tutoring that insists they think first.
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.